EVALUATING THE IMPACT OF LASRC AND SEN2COR ATMOSPHERIC CORRECTION ALGORITHMS ON LANDSAT-8/OLI AND SENTINEL-2/MSI DATA OVER AERONET STATIONS IN BRAZILIAN TERRITORY

10 citations as recorded by crossref.

1. Stability in time and consistency between atmospheric corrections: Assessing the reliability of Sentinel-2 products for biodiversity monitoring in tropical forests E. Chraibi et al. https://doi.org/10.1016/j.jag.2022.102884
2. Potential drivers of fire severity in Golden Gate Highlands National Park: a case study of the November 2022 big fire event M. Mapuru et al. https://doi.org/10.1186/s42408-025-00427-7
3. Comparative analysis of chlorophyll-a retrieval algorithms for inland waterbodies of Bangladesh using Sentinel-2 and Landsat-8 imagery M. Islam et al. https://doi.org/10.1007/s44288-025-00269-5
4. Integrative plant area index retrieval and spatiotemporal analysis in Taihu Lake Basin via synergistic active-passive remote sensing techniques J. Li et al. https://doi.org/10.1080/01431161.2024.2384100
5. A reproducible and replicable approach for harmonizing Landsat-8 and Sentinel-2 images R. Marujo et al. https://doi.org/10.3389/frsen.2023.1254242
6. A dataset of GF-2 surface reflectance products of Hainan Province during 2017–2021 Y. YAN et al. https://doi.org/10.11922/11-6035.noda.2022.0014.zh
7. Estimation of Chlorophyll-a Concentrations in Lanalhue Lake Using Sentinel-2 MSI Satellite Images F. Barraza-Moraga et al. https://doi.org/10.3390/rs14225647
8. Evaluation of Landsat-9 interoperability with Sentinel-2 and Landsat-8 over Europe and local comparison with field surveys F. Trevisiol et al. https://doi.org/10.1016/j.isprsjprs.2024.02.021
9. Surface water mapping from remote sensing in Egypt’s dry season using an improved U-Net model with multi-scale information and attention mechanism Y. Li et al. https://doi.org/10.1016/j.jag.2025.104666
10. Topsoil clay content mapping in croplands from Sentinel-2 data: Influence of atmospheric correction methods across a season time series C. Gomez et al. https://doi.org/10.1016/j.geoderma.2022.115959